Identification and validation of a novel stress granules-related prognostic model in colorectal cancer
Aims: A growing body of evidence demonstrates that Stress granules (SGs), a non-membrane cytoplasmic compartments, are important to colorectal development and chemoresistance. However, the clinical and pathological significance of SGs in colorectal cancer (CRC) patients is unclear. The aim of this s...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-05-01
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| Series: | Frontiers in Genetics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2023.1105368/full |
| _version_ | 1827955943244038144 |
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| author | Zhihao Liu Enen Zhao Huali Li Dagui Lin Chengmei Huang Yi Zhou Yaxin Zhang Xingyan Pan Wenting Liao Fengtian Li |
| author_facet | Zhihao Liu Enen Zhao Huali Li Dagui Lin Chengmei Huang Yi Zhou Yaxin Zhang Xingyan Pan Wenting Liao Fengtian Li |
| author_sort | Zhihao Liu |
| collection | DOAJ |
| description | Aims: A growing body of evidence demonstrates that Stress granules (SGs), a non-membrane cytoplasmic compartments, are important to colorectal development and chemoresistance. However, the clinical and pathological significance of SGs in colorectal cancer (CRC) patients is unclear. The aim of this study is to propose a new prognostic model related to SGs for CRC on the basis of transcriptional expression.Main methods: Differentially expressed SGs-related genes (DESGGs) were identified in CRC patients from TCGA dataset by limma R package. The univariate and Multivariate Cox regression model was used to construct a SGs-related prognostic prediction gene signature (SGPPGS). The CIBERSORT algorithm was used to assess cellular immune components between the two different risk groups. The mRNA expression levels of the predictive signature from 3 partial response (PR) and 6 stable disease (SD) or progress disease (PD) after neoadjuvant therapy CRC patients’ specimen were examined.Key findings: By screening and identification, SGPPGS comprised of four genes (CPT2, NRG1, GAP43, and CDKN2A) from DESGGs is established. Furthermore, we find that the risk score of SGPPGS is an independent prognostic factor to overall survival. Notably, the abundance of immune response inhibitory components in tumor tissues is upregulated in the group with a high-risk score of SGPPGS. Importantly, the risk score of SGPPGS is associated with the chemotherapy response in metastatic colorectal cancer.Significance: This study reveals the association between SGs related genes and CRC prognosis and provides a novel SGs related gene signature for CRC prognosis prediction. |
| first_indexed | 2024-04-09T14:55:36Z |
| format | Article |
| id | doaj.art-a65922e894d64721927c80d186bf19cd |
| institution | Directory Open Access Journal |
| issn | 1664-8021 |
| language | English |
| last_indexed | 2024-04-09T14:55:36Z |
| publishDate | 2023-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Genetics |
| spelling | doaj.art-a65922e894d64721927c80d186bf19cd2023-05-02T05:27:18ZengFrontiers Media S.A.Frontiers in Genetics1664-80212023-05-011410.3389/fgene.2023.11053681105368Identification and validation of a novel stress granules-related prognostic model in colorectal cancerZhihao LiuEnen ZhaoHuali LiDagui LinChengmei HuangYi ZhouYaxin ZhangXingyan PanWenting LiaoFengtian LiAims: A growing body of evidence demonstrates that Stress granules (SGs), a non-membrane cytoplasmic compartments, are important to colorectal development and chemoresistance. However, the clinical and pathological significance of SGs in colorectal cancer (CRC) patients is unclear. The aim of this study is to propose a new prognostic model related to SGs for CRC on the basis of transcriptional expression.Main methods: Differentially expressed SGs-related genes (DESGGs) were identified in CRC patients from TCGA dataset by limma R package. The univariate and Multivariate Cox regression model was used to construct a SGs-related prognostic prediction gene signature (SGPPGS). The CIBERSORT algorithm was used to assess cellular immune components between the two different risk groups. The mRNA expression levels of the predictive signature from 3 partial response (PR) and 6 stable disease (SD) or progress disease (PD) after neoadjuvant therapy CRC patients’ specimen were examined.Key findings: By screening and identification, SGPPGS comprised of four genes (CPT2, NRG1, GAP43, and CDKN2A) from DESGGs is established. Furthermore, we find that the risk score of SGPPGS is an independent prognostic factor to overall survival. Notably, the abundance of immune response inhibitory components in tumor tissues is upregulated in the group with a high-risk score of SGPPGS. Importantly, the risk score of SGPPGS is associated with the chemotherapy response in metastatic colorectal cancer.Significance: This study reveals the association between SGs related genes and CRC prognosis and provides a novel SGs related gene signature for CRC prognosis prediction.https://www.frontiersin.org/articles/10.3389/fgene.2023.1105368/fullstress granulesgene signaturecolorectal cancerprognostic modelchemotherapy resistance |
| spellingShingle | Zhihao Liu Enen Zhao Huali Li Dagui Lin Chengmei Huang Yi Zhou Yaxin Zhang Xingyan Pan Wenting Liao Fengtian Li Identification and validation of a novel stress granules-related prognostic model in colorectal cancer Frontiers in Genetics stress granules gene signature colorectal cancer prognostic model chemotherapy resistance |
| title | Identification and validation of a novel stress granules-related prognostic model in colorectal cancer |
| title_full | Identification and validation of a novel stress granules-related prognostic model in colorectal cancer |
| title_fullStr | Identification and validation of a novel stress granules-related prognostic model in colorectal cancer |
| title_full_unstemmed | Identification and validation of a novel stress granules-related prognostic model in colorectal cancer |
| title_short | Identification and validation of a novel stress granules-related prognostic model in colorectal cancer |
| title_sort | identification and validation of a novel stress granules related prognostic model in colorectal cancer |
| topic | stress granules gene signature colorectal cancer prognostic model chemotherapy resistance |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2023.1105368/full |
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